利用生物学发现抗生素。

IF 9.8 1区生物学 Q1 Agricultural and Biological Sciences

PLoS Biology Pub Date : 2024-11-26 eCollection Date: 2024-11-01 DOI:10.1371/journal.pbio.3002946

Cesar de la Fuente-Nunez

引用次数: 0

摘要

抗生素耐药性的增加需要创新的解决方案。人们意识到可以利用人工智能对生物学进行数字挖掘，这为抗生素的发现揭示了一种新的模式，为抗击超级细菌带来了希望。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Mining biology for antibiotic discovery.

The rise of antibiotic resistance calls for innovative solutions. The realization that biology can be mined digitally using artificial intelligence has revealed a new paradigm for antibiotic discovery, offering hope in the fight against superbugs.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

PLoS Biology BIOCHEMISTRY & MOLECULAR BIOLOGY-BIOLOGY

CiteScore

15.40

自引率

2.00%

发文量

359

审稿时长

3-8 weeks

期刊介绍： PLOS Biology is the flagship journal of the Public Library of Science (PLOS) and focuses on publishing groundbreaking and relevant research in all areas of biological science. The journal features works at various scales, ranging from molecules to ecosystems, and also encourages interdisciplinary studies. PLOS Biology publishes articles that demonstrate exceptional significance, originality, and relevance, with a high standard of scientific rigor in methodology, reporting, and conclusions. The journal aims to advance science and serve the research community by transforming research communication to align with the research process. It offers evolving article types and policies that empower authors to share the complete story behind their scientific findings with a diverse global audience of researchers, educators, policymakers, patient advocacy groups, and the general public. PLOS Biology, along with other PLOS journals, is widely indexed by major services such as Crossref, Dimensions, DOAJ, Google Scholar, PubMed, PubMed Central, Scopus, and Web of Science. Additionally, PLOS Biology is indexed by various other services including AGRICOLA, Biological Abstracts, BIOSYS Previews, CABI CAB Abstracts, CABI Global Health, CAPES, CAS, CNKI, Embase, Journal Guide, MEDLINE, and Zoological Record, ensuring that the research content is easily accessible and discoverable by a wide range of audiences.